An active swing suppression control scheme of overhead cranes based on input shaping model predictive control

Tang, Wenming; Zhao, Erpeng; Sun, Litao; Gao, Haiyan

doi:10.1080/21642583.2023.2188401

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…The input shaping technique is an open-loop control approach that can reduce the residual oscillations of oscillatory systems quickly and effectively. The technique convolves an appropriate impulse sequence with a reference input and incorporates model predictive control, 3 sliding mode control, 4 and so on for vibration suppression. This input shaping technique has been applied to control various oscillatory systems.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response of an Overhead Crane with Anti-Swing Controller in Driving Force and Energy Consumption

Gao,

Gong,

et al. 2024

The International Journal of Acoustics and Vibration

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Cargo sway caused by overhead crane operation not only reduces crane efficiency and safety but also affects the driving force and energy consumption of the operating mechanism. In this paper, a control scheme based on proportional derivative (PD) control and an input shaping technique is proposed to suppress cargo sway. First, the dynamics model of the crane system is established, and the mathematical expressions of the cargo sway, driving force, and energy consumption are derived. The accuracy of the dynamics model is verified through a comparison between the simulations and experiments. Then, a PD-IS controller is designed based on the dynamics model. Finally, the performance of the designed controller is simulated under four typical excitation signals and compared to that of the standard PD controller.

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Section: Introductionmentioning

confidence: 99%

Dynamic Response of an Overhead Crane with Anti-Swing Controller in Driving Force and Energy Consumption

Gao,

Gong,

et al. 2024

The International Journal of Acoustics and Vibration

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“…The PSO algorithm optimized the PID's anti-swing in terms of robustness and adaptability. In (Tang et al, 2023), three meta-heuristic algorithms namely PSO, DE, and CS were employed to optimize the FLC scaling factors for gantry crane systems. The optimized FLCs showed reduced settling time, overshoot, and improved anti-swing control.…”

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confidence: 99%

Hybrid input shaping and fuzzy logic‐based position and oscillation control of tower crane system

Alhassan,

Assawinchaichote,

Zhang

et al. 2023

Expert Systems

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Effective control of the tower crane system (TCS) is crucial for the safe and quick transport of goods from one point to another in industries and construction sites. However, the existing literature either depends on the dynamic model of the system, which is prone to errors and assumptions, or requires the feedback of the states to be controlled, which can be costly and or complex. In particular, the TCS has many states and is highly nonlinear. Thus, a non‐model‐based control approach that depends on minimal feedback sensors is needed. The primary contribution of this work is that the potential hybrid configurations of the input shaping control (ISC) and fuzzy logic control (FLC) were proposed and investigated. The study provides the best hybrid configuration of the ISC and FLC (non‐model‐based controllers) for optimal positioning and anti‐swing control of the TCS. Three configurations of the ISC + FLC, namely shaper as reference input (SARI), shaper as input to the FLC (SAI2F), and shaper as input to the plant (SAI2P) were investigated to assess the optimal hybrid configuration of the ISC + FLC. The results demonstrated that the hybrid ISC + FLC scheme had improved the response of ISC by at least 150% and enhanced the oscillation reduction of FLC by 72%. Finally, these analyses showed that the ISC + FLC could achieve reasonable control of the tower crane by only considering the output of one state (position). This makes the control scheme cheaper and reduces the complexity and computational time compared to other full‐state feedback controllers.

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Application of Model Estimation-Based Input Shaping Technique in Tower Crane Control Design

Zhang,

Huang

2023

2023 10th International Forum on Electrical Engineering and Automation (IFEEA)

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An active swing suppression control scheme of overhead cranes based on input shaping model predictive control

Cited by 4 publications

References 40 publications

Dynamic Response of an Overhead Crane with Anti-Swing Controller in Driving Force and Energy Consumption

Dynamic Response of an Overhead Crane with Anti-Swing Controller in Driving Force and Energy Consumption

Hybrid input shaping and fuzzy logic‐based position and oscillation control of tower crane system

Application of Model Estimation-Based Input Shaping Technique in Tower Crane Control Design

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